, self-efficacy, opportunities for professionaldevelopment, academic support etc. have significant influence on retention in Science, Technology,Engineering and Mathematics (STEM) as well as increases to the STEM workforce[1], [2]. These factors havebeen found especially compounding in historically underrepresented groups in STEM fields, includingEngineering[3]. Research Experiences for Undergraduates (REU) internship programs partner with nationallaboratories, principal investigators (PI’s), graduate mentors and STEM student groups to assess, explore andexamine science, technology engineering and mathematics (STEM) topics. Such a program is curatedintentionally to retain and increase the STEM workforce by addressing the challenges faced by STEM
whose main tasks are (1) to actively initiate communication with students whoare at risk of failing the course, (2) to identify issues with the students (3) to take actionaccording to the type of issue that the student is facing, (4) to follow up cases, untilresolution. A student followup software (SFS) is used by the WTAs to track and follow upeach contacted student. The SFS also allows recording the time, length and type of each case.In previous publications, we have shown that WTAs are positively evaluated by students andwe have analyzed the type of interactions between WTAs and students. In this paper, weconsider a new question: what are the conditions that determine the need for a WTA in aspecific course?. We present progress towards
theories, aiming for transformational change. I also extensively (formally and informally) mentor students with multi-marginalized identities. ©American Society for Engineering Education, 2025 1WIP: Leveraging AI for Literature Reviews: A Guide for New ResearchersThe importance of conducting a comprehensive literature review cannot be overstated, as itserves multiple purposes: summarizing a field to identify future research directions, findingevidence to support results and discussions, and breaking barriers in interdisciplinary studies [1].This process is time-consuming and demands significant effort and training to
analyze thecollected data for assessment and intervention. The goal is to streamline the data collection andvisualization, allowing teachers and students to navigate the collected data, assess the currenttrends in data, and identify opportunities for intervention.IntroductionIndoor environmental quality (IEQ) refers to the conditions inside buildings that directly impactthe health and well-being of their occupants. Key factors influencing IEQ include indoor airquality (IAQ) [1], thermal comfort [2], lighting quality [3], [4], [5] and acoustics [6]. However, abuilding with poor IEQ can lead to health problems, increasing the risk of Asthma, allergies,fatigue, and loss of concentration [7].The IEQ is affected by the outdoor environment, such as
work in the aerospace industry insouthern California, and hold a degree in a STEM related field. Restrictions were not placed onundergraduate institution attended or the specific major studied to allow for analysis of uniqueperspectives and to enable the formation of recommendations that are applicable to moreuniversities. The researchers interviewed individuals from seven different aerospace companies,again, to ensure the results of this study are relevant to multiple workplaces. In total, threefemale engineers and ten male engineers will be included by the end of this study. Sevenengineers have been interviewed to date. General participant identifiers are tabulated in Table 1. Interviewee Undergraduate Major, Institution
Computing Education: Research Landscape Over the Past Decade Introduction The construct of sense of belonging (SB) has garnered significant scholarly attention in thefields of engineering and computing education in recent years, reflecting a growing awareness ofits pivotal role in shaping student success and well-being. This surge of interest aligns with broadertrends observed in STEM education, where SB has emerged as a crucial factor in fosteringinclusive learning environments and promoting academic persistence [1]. However, the rapidproliferation of research in this domain has revealed several areas in need of further explorationand synthesis, particularly in generating knowledge on
. Thiswork is part of an ongoing NSF-IUSE Learning Map project piloted during the spring and fallsemesters of 2024. The LMap method briefly described below is rooted in the Analysis, Design,Development, Implementation, and Evaluation (ADDIE) model [1] and Backward Design [2, 3]and applied to the design of course sequences that align learning outcomes, assessments, andinstructional practices. We report here the current results of implementing and testing the newStatics Knowledge Inventory. A. BackgroundStudent success in engineering education depends on their performance in prerequisite coursesequences, which require the ability to retain and transfer knowledge and skills across courses.Incomplete knowledge transfer in foundational courses like
ff fi ff ff ff Food science and engineering as a gateway to engineering in general and chemical engineering in particular has been implemented by a number of colleagues, for example [1-4]. The current course has a few distinct elements that separate it from the examples cited. First, it is designed as a general education course for non-majors, not an introduction to the chemical engineering (or engineering in
curriculum[1]. As a result ofambiguity in their academic training, it has been reported that BME graduates can experiencebarriers to career attainment as compared to those majoring in other engineering disciplines[2],[3].In light of these barriers, many students pursue a BME master’s program to gain deeperknowledge into a specific sub-field of BME and learn new skills associated with this subfield[4].This enhanced knowledge can help students attain their career goals, whether it is advancementin industry positions or pursuing advanced degrees such as the MD and PhD. However, there is agap between the knowledge and skills BME master’s graduates gain during graduate study andthe expectations of potential employers in both industry and academia
. Ahmed5,7, Raymond B. Bako6,7, Akinlolu Akande2,3 1 Department of Mechanical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria2 Mathematical Modelling and Intelligent Systems for Health and Environment Research Group, School of Science, Atlantic Technological University, Sligo, F91 YW50, Ireland. 3 Modelling and Computation for Health and Society, Atlantic Technological University, Sligo, F91 YW50, Ireland. 4 Department of Civil Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria 5 Department of Chemical Engineering, Ahmadu Bello University, Zaria, 810222, Nigeria 6 Department of Educational
instructor's or student's interests, ultimately neglecting the development ofintegrated engineering design problem-solving skills.This study adopts a design-based research (DBR) [1] approach to investigate barriers to teachingand learning integrated design practice in engineering education, redesigning a target course totest for improved effectiveness. Initial course observations revealed that developing reflectivepractice is critical yet often overlooked in cultivating intentional engineering designers. Activereflection is essential for both technical and creative applications throughout the design process,enabling students to uncover opportunities, evaluate decisions, anticipate challenges, and adaptapproaches. The study sought to embed formative
groupmeetings and analyzed using inductive and deductive thematic analysis. Our results indicate thatthe participants found ClearMind both useful and easy to use, with many expressing a willingnessto continue using it and recommend it to others. Feedback from this study sheds light on how torefine its features to better align with students’ academic needs. Future work will involveconducting a large-scale quantitative study, in order to further evaluate its effectiveness inreducing academic procrastination and its long-term impact on academic performance.1 IntroductionProcrastination is commonly defined as ‘the act of needlessly delaying tasks to the point ofexperiencing subjective discomfort’ [1]. Procrastination is detrimental to many
key totechnological progress, infrastructure creation, and national security. However, literaturesuggests there is an emerging gap — demand for engineers exceeding supply. A recentgovernment science and engineering indicator report [1] shows that although the U.S. still leadsin R&D, its share of the global STEM workforce is shrinking because of growing internationalcompetition, particularly from Asia. Within industry, there is a need to develop engineering leadership who can facilitate theinnovation and competitiveness necessary to improve the United States’ competitiveness abroad[2]. Concepts such as leadership in learning organizations and its role in industrial innovationand competitiveness are discussed by Peter Senge [3]. Senge
3D printer modeled with lessefficiency (more overall CAD features to achieve the same final model) compared to the ControlCondition. In addition, correlations exist between prior manufacturing experience and theirmodeling behaviors overall, regardless of condition. This work demonstrates how exposure tomanufacturing processes early in an undergraduate engineering program can impact students’CAD behaviors and design efficiency.1. INTRODUCTIONComputer-Aided Design (CAD), as well as Computer-Aided Manufacturing (CAM), areessential skills for the modern engineer. Within an undergraduate degree program, theseprinciples and applied knowledge are skills every graduating engineer should possess. As such,CAD and CAM courses are built into the core
includes the following components: 1) in-lecture discussionsof specific healthcare disparities and inequities that exist that relate to the organ system beingdiscussed, 2) discussion questions designed to help students learn to socially contextualizetechnical problems in BME, 3) three equity and ethics assignments, and 4) two team projects: a)one asking teams to design a brain computer interface and address any potential disparities orsocietal impacts that may results and b) one asking teams to develop and engaging andinformative infographic about a specific healthcare disparity. A sequential mixed-methods pre-and post-semester approach employing quantitative and qualitative methods was used to assess teeffectiveness of this curriculum. Results
education and development. These courses are typicallypositioned in the later stages of the curriculum, offering students an opportunity to applyfundamental knowledge from previous courses, develop technical skills necessary within theirdiscipline, and work collaboratively to accomplish complex tasks that increasingly explorebroader societal impacts [1-3]. In total, many in engineering (and in several other STEMdisciplines) describe the collection of these learning outcomes as “hands-on” learning, anessential component of the curriculum for students to learn by doing in both authentic andsimulated environments [4-6].Recently, leaders in science and engineering education have suggested that these laboratory,design, and capstone courses should
Engineering Education, 2025AbstractComputer Science courses often rely on programming assignments for learning assessment. Au-tomatic grading (autograding) is a common mechanism to provide quick feedback to students andreduce teacher workload, especially in large classes. However, traditional autograders offer limitedpersonalized feedback and often require all students to solve the same predefined problem, restrict-ing creativity. In this paper, we address these limitations by developing an AI-based autograderthat (1) can grade diverse, open-ended assignments where students work on independent, creativeprojects, enabling a new set of assessments in CS1 (introductory programming) courses, and (2)provides personalized feedback using large language
University in her hometown of Milwaukee, WI. She completed her Bachelors degrees at the University of Wisconsin-Madison with a double major in Community and Nonprofit Leadership and Gender and Women studies. As a scholar and a student advocate, Dr. Espino believes in centering, humanizing, empowering, and supporting the communities in which we serve through practical and policy reform. ©American Society for Engineering Education, 2025 Navigating S-STEM: Student Perspectives on Success in Community College [work-in progress]AbstractBuilding a robust and diverse STEM workforce is essential for fostering innovation andaddressing global challenges [1]. This qualitative
involve a type of active learning, whichaims to engage the students in their learning experience rather than being the silent audience inthe classroom. Flipped, problem-based, and collaborative learning are examples of activelearning pedagogy that aim to increase the students’ engagement in their education experiences,knowledge retention, and information applications. These pedagogy approaches also enhance thestudents’ critical thinking, investigation, verbal communication, and teamworking skills (e.g.,[1]—[4]).Whereas these active-learning pedagogical methods and approaches have addressed many of thechallenges in STEM educations, they may not have been able to address additional challengesthat are unique to electrical and computer engineering
to externalize theirresearch. These assessments are used to ensure that students not only grasp engineeringprinciples but can also apply them in a meaningful and innovative way. The increasingsignificance of innovation-oriented skills in STEM fields, particularly biomedical engineering,highlights the necessity to explore how teaching methods can improve students' innovativecapabilities [1], [2], [3], [4], [5], [6]. In IBL environments, students often experience cognitive dissonance (CD)—apsychological discomfort arising from conflicting ideas or beliefs when faced with novel andambiguous tasks. CD occurs when individuals encounter information or situations that challengetheir knowledge, beliefs, or expectations. Transitioning to an
consultancy. Emily joined the University of Toronto in 2018 and studies and teaches engineering leadership and ways to integrate systems thinking into complex decision making. ©American Society for Engineering Education, 2025 Evaluating the Use of System Mapping Tools to Support Researcher Understanding of Knowledge Diffusion in the Bioeconomy Khadija I. Rana1,2, Emily L. Moore1,2, Emma R. Master2 1 Institute for Studies in Transdisciplinary Engineering Education and Practice, University of Toronto, 2 Department of Chemical Engineering and Applied Chemistry, University of Toronto Toronto
unpredictable environments and overcome thelimitations of rigid systems [1-5]. Similarly, compliant mechanisms, which are considered thecore of soft robotics, consist of bendable links to deform and large-deflecting hinges to createrelative motion between two adjacent members. They offer several advantages, includingincreased precision, reduced cost, single-piece manufacturing, and the elimination of assemblyrequirements [6-8].Projections indicate that the U.S. soft robotics market is expected to reach $8.7 billion by 2030,with applications spanning diverse fields such as healthcare, manufacturing, bio-inspired design,and environmental exploration [9]. However, the challenges for both soft robotics and compliantmechanisms lie in meeting user experience
notableincrease in their ability to discuss research at professional meetings and conferences.Additionally, participants expressed heightened confidence in pursuing graduate studies inSTEM fields, further solidifying the program’s role in shaping future biomedical innovators. Theprogram’s emphasis on inclusion has proven essential in cultivating a diverse talent pipelineready to address the healthcare needs of tomorrow.IntroductionUndergraduate research has been shown to have positive impacts in Science, Technology,Engineering, and Mathematics (STEM) education including increasing students’ self-efficacy,interest in STEM, and retention within STEM[1]. Participating in undergraduate research at anexternal institution, like participating in a Research
technical and employability skills needed tothrive in the workplace. ACCESS directly tackles these gaps by equipping students with criticalproblem-solving, teamwork, communication, and technical skills, preparing them to succeed inthe competitive STEM workforce. [1] The project targets three pivotal programs—Electrical,Computer, and Mechatronics Engineering Technology—fields essential to addressing nationalsecurity concerns, advancing manufacturing innovation, and driving technological progress.By combining comprehensive financial support with tailored academic and professionaldevelopment, ACCESS seeks to empower students to achieve academic excellence, strengthencareer readiness, and contribute to workforce development in economically challenged
Undergraduate Engineering Student WellbeingIntroductionThe feeling of being overwhelmed is more common than one might expect. A recent studysuggests 72% of adults have reported experiencing a psychological symptom of stress, includingfeeling overwhelmed, changes in sleep, and constant worry [1]. Despite stress and overwhelmoften being linked or felt simultaneously, the connection between the two emotions isunderstudied. Overwhelm can be distinguished as the experience that follows when a person hasexperienced a debilitating amount of stress. Although the person is not necessarily stressed atthat moment, they carry an emotion from the thought of the stress or experience they have had. Astudy by psychologist Clifford Hurvich
, TransformationAbstractThis paper provides insight into recent work of our NSF Revolutionizing EngineeringDepartments (RED) grant Breaking the Binary We are in a five-year process of transformationwith the following goals: #1 Enhance critical consciousness and expand group capacity - Makevisible personal and institutional structures and Grow faculty capacity for revolutionary justice-based change; #2: Interrupt structures that inhibit action - Deepen relationships between andamong students, staff, and faculty and Heal from oppression; and #3: Dismantle and Reimagine -Identify and understand structures of oppression within, impacting, and impacted by theComputer Engineering (CPE) department and Ideate, prototype, and test alternative structures ina continual
, and mathematics (STEM) identity before, during, andafter participation in the 2024 summer programs.This study aims to investigate the impacts of the GGEE summer program on the development ofSTEM identity in middle school student participants. To measure the impacts on the developmentof STEM identity, three validated survey tools were modified to fit the needs and perspectives ofthe summer programs: the single-item STEM Professional Identity Overlap (STEM-PIO-1)measure, Role Identity Surveys in STEM (RIS-STEM), and Student Attitudes toward STEM (S-STEM). These tools focused on different aspects of STEM identity formation: 1) overall STEMidentity formation by measuring how much students feel like they overlap with a scientist orengineer, 2
) serviceability (e.g., 3D-printed part repositories, troubleshooting guides), software options (e.g. Python,MakeCode), and curricular support (e.g. tutorials, guided lesson plans) to design low-cost robotics. Rationale for the inclusion of each framework component is included from a larger project in which bothteachers in under-served communities and experts in robotics were surveyed about implementation and cost of robotics in schools. Here we share how the LCER framework (Table 1) could be applied through an existing, low-cost educational robotics project, Roversa (Bredder, 2024). This project was initially designed usingparts of the Educational Robotics Application framework (Catlin & Blamires, 2010), and we share how the lessons learned
paperbased on the same research study [1]. The goal of this paper is to examine what drives these twostudent populations to pick one form of instruction over the other. This study focuses specificallyon engineering master’s students. There are a great number of considerations when one exploresthe option of a master’s degree. Obviously, these engineering student populations have two verydifferent sets of priorities, as they have chosen two different program experiences. This papersheds light on the weight and importance of various considerations in the decision makingprocess for full-time versus part-time students.Background/Literature ReviewFull Vs Part-timeA great deal of literature exists which examines part-time or full-time students. Many focus
statements. This highlights the potential of integrative first-year coursesto foster design problem framing through connections to students' local knowledge andexperiences.MotivationStudies of first-year experiences provide guidance on how such courses support students’ senseof belonging, self-efficacy, and understanding of the work engineers do [1, 2]. The variability inapproaches has provided insight into these effects. For instance, first-year design experiencesappear to have long-lasting impacts, as students who have such experiences are more effectiveteam members in their senior capstone course [3]. Integrative and sociotechnical designexperiences can provide an engaging introduction to engineering and computer science degrees[4]. An